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Related Experiment Videos

Data base management systems for evaluation of analytical procedures.

T Groth, O Larsson, T Aronsson

    Scandinavian Journal of Clinical and Laboratory Investigation. Supplementum
    |January 1, 1984
    PubMed
    Summary
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    This study introduces database management systems for clinical laboratory quality control. It details applications in internal quality control and external quality assessment using the MIMER system.

    Area of Science:

    • Clinical Chemistry
    • Laboratory Medicine
    • Health Informatics

    Background:

    • Data management is crucial for evaluating analytical procedure quality in clinical laboratories.
    • Existing systems require robust solutions for effective quality assessment.
    • The MIMER relational database management system offers a versatile platform.

    Purpose of the Study:

    • To introduce database management systems (DBMS) for clinical laboratory quality evaluation.
    • To describe specific applications of the MIMER DBMS for internal and external quality control.
    • To highlight the utility of DBMS in enhancing analytical procedure quality.

    Main Methods:

    • Introduction to general principles of database management systems.
    • Detailed description of an internal quality control database system under development.

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  • Explanation of a database system for external quality assessment.

    • Main Results:

    • The MIMER system is adaptable for both internal quality control and external quality assessment.
    • Development of a functional internal quality control database at a university hospital.
    • Implementation of a database system for a previous NORDKEM external quality assessment project.

    Conclusions:

    • Database management systems are effective tools for quality evaluation in clinical laboratories.
    • The MIMER system provides a robust framework for laboratory quality management.
    • These applications demonstrate the practical benefits of integrating DBMS into laboratory workflows.